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Author:

Murphy, William P

Title:

Using Supervised Learning To Identify Descriptions Of Personal Experiences Related To Chronic Disease On Social Media

Area of Honors:

Information Sciences and Technology

Keywords:

machine learning
sentiment analysis
data mining
social media
twitter
supervised learning

File:

Download shc_thesis.pdf

Thesis Supervisors:

John Yen, Thesis Supervisor
Lisa Firing Lenze, Thesis Honors Advisor

Author:

Przybylinski, Brooke

Title:

Abortion Activists, Worldviews, and Attitude Expression: A Twitter Analysis

Area of Honors:

Social Data Analytics

Keywords:

abortion
twitter
sentiment analysis
activist
abortion activists
abortion activist
social media
twitter scraping
social media politics
attitudes
political attitudes
attitude expression
worldviews
worldview
woman
women
women's rights
gender and politics
pro-life
pro-choice
abortion legality
religion
secular
political sentiment

File:

Download Przybylinski_thesis.pdf

Thesis Supervisors:

Michael Barth Berkman, Thesis Supervisor
Matthew Richard Golder, Thesis Honors Advisor